David Horn

Publication Activity (10 Years)

Years Active: 1983-2022
Publications (10 Years): 2

Top Topics

Shape Decomposition

Top Venues

Pattern Recognit.

PLoS Comput. Biol.

Publications

Elihu Sela, Shan Huang, David Horn
Deep Learning Study of an Electromagnetic Calorimeter. Algorithms 15 (4) (2022)
Lior Deutsch, David Horn
The Weight-Shape decomposition of density estimates: A framework for clustering and image analysis algorithms. Pattern Recognit. 81 (2018)
Erez Persi, David Horn
Systematic Analysis of Compositional Order of Proteins Reveals New Characteristics of Biological Functions and a Universal Correlate of Macroevolution. PLoS Comput. Biol. 9 (11) (2013)
Marvin Weinstein, F. Meirer, A. Hume, Ph. Sciau, G. Shaked, R. Hofstetter, Erez Persi, A. Mehta, David Horn
Analyzing Big Data with Dynamic Quantum Clustering. CoRR (2013)
Benny Chor, David Horn, Nick Goldman, Yaron Levy, Tim Massingham
-mer Spectra: Models and Modalities. RECOMB (2010)
Uri Weingart, Erez Persi, Uri Gophna, David Horn
Deriving enzymatic and taxonomic signatures of metagenomes from short read data. BMC Bioinform. 11 (2010)
Assaf Gottlieb, Roy Varshavsky, Michal Linial, David Horn
UFFizi: a generic platform for ranking informative features. BMC Bioinform. 11 (2010)
Marvin Weinstein, David Horn
Dynamic quantum clustering: a method for visual exploration of structures in data CoRR (2009)
Uri Weingart, Yair Lavi, David Horn
Data mining of enzymes using specific peptides. BMC Bioinform. 10 (2009)
David Horn
Syntactic structures in languages and biology. Cogn. Process. 9 (3) (2008)
Liat Segal, Michal Lapidot, Zach Solan, Eytan Ruppin, Yitzhak Pilpel, David Horn
Nucleotide variation of regulatory motifs may lead to distinct expression patterns. ISMB/ECCB (Supplement of Bioinformatics) (2007)
Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin, David Horn
Functional Representation of Enzymes by Specific Peptides. PLoS Comput. Biol. 3 (8) (2007)
Roy Varshavsky, Assaf Gottlieb, David Horn, Michal Linial
Unsupervised feature selection under perturbations: meeting the challenges of biological data. Bioinform. 23 (24) (2007)
Roy Varshavsky, David Horn, Michal Linial
Clustering Algorithms Optimizer: A Framework for Large Datasets. ISBRA (2007)
Roy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn
Novel Unsupervised Feature Filtering of Biological Data. ISMB (Supplement of Bioinformatics) (2006)
Uri Barkan, David Horn
Spatiotemporal clustering of synchronized bursting events in neuronal networks. Neurocomputing 69 (10-12) (2006)
Anat Elhalal, David Horn
In vitro neuronal networks: evidence for synaptic plasticity. Neurocomputing (2005)
Yuval Aviel, David Horn, Moshe Abeles
Memory Capacity of Balanced Networks. Neural Comput. 17 (3) (2005)
Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn
Motif Extraction and Protein Classification. CSB (2005)
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
Unsupervised learning of natural languages. Proc. Natl. Acad. Sci. USA 102 (33) (2005)
Roy Varshavsky, Michal Linial, David Horn
COMPACT: A Comparative Package for Clustering Assessment. ISPA Workshops (2005)
Yishai M. Elyada, David Horn
Can Dynamic Neural Filters Produce Pseudo-Random Sequences?. ICANN (1) (2005)
Orit Kliper, David Horn, Brigitte Quenet
The inertial-DNF model: spatiotemporal coding on two time scales. Neurocomputing (2005)
Erez Persi, David Horn, Ronen Segev, Eshel Ben-Jacob, Vladislav Volman
Neural modeling of synchronized bursting events. Neurocomputing (2004)
Orit Kliper, David Horn, Brigitte Quenet, Gideon Dror
Analysis of spatiotemporal patterns in a model of olfaction. Neurocomputing (2004)
Erez Persi, David Horn, Vladislav Volman, Ronen Segev, Eshel Ben-Jacob
Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity. Neural Comput. 16 (12) (2004)
David Horn, Gideon Dror, Brigitte Quenet
Dynamic proximity of spatio-temporal sequences. IEEE Trans. Neural Networks 15 (5) (2004)
Yuval Aviel, David Horn, Moshe Abeles
Synfire waves in small balanced networks. Neurocomputing (2004)
Yuval Aviel, Carsten Mehring, Moshe Abeles, David Horn
On Embedding Synfire Chains in a Balanced Network. Neural Comput. 15 (6) (2003)
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
Unsupervised Context Sensitive Language Acquisition from a Large Corpus. NIPS (2003)
David Horn, Inon Axel
Novel Clustering Algorithm for Microarray Expression Data in A Truncated SVD Space. Bioinform. 19 (9) (2003)
David Horn, Brigitte Quenet, Gideon Dror, Orit Kliper
Modeling neural spatiotemporal behavior. Neurocomputing (2003)
Brigitte Quenet, David Horn
The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. Neural Comput. 15 (2) (2003)
Yuval Aviel, David Horn, Moshe Abeles
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity. NIPS (2003)
Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman
Automatic Acquisition and Efficient Representation of Syntactic Structures. NIPS (2002)
Yuval Aviel, Elan Pavlov, Moshe Abeles, David Horn
Synfire chain in a balanced network. Neurocomputing (2002)
David Horn, Assaf Gottlieb
The Method of Quantum Clustering. NIPS (2001)
Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin
Distributed synchrony in a cell assembly of spiking neurons. Neural Networks 14 (6-7) (2001)
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
Support Vector Clustering. J. Mach. Learn. Res. 2 (2001)
Brigitte Quenet, David Horn, Gérard Dreyfus, Rémi Dubois
Temporal coding in an olfactory oscillatory model. Neurocomputing (2001)
David Horn, Nir Levy, Eytan Ruppin
Distributed synchrony in an attractor of spiking neurons. Neurocomputing (2000)
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
A Support Vector Method for Clustering. NIPS (2000)
David Horn, Irit Opher
Complex dynamics of neuronal thresholds. Neurocomputing (2000)
Asa Ben-Hur, Hava T. Siegelmann, David Horn, Vladimir Vapnik
A Support Vector Clustering Method. ICPR (2000)
Nir Levy, David Horn, Eytan Ruppin
Associative Memory in a Multimodular Network. Neural Comput. 11 (7) (1999)
David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS (1999)
David Horn, Nir Levy, Eytan Ruppin
The importance of nonlinear dendritic processing in multimodular memory networks. Neurocomputing (1999)
Gad Miller, David Horn
Probability Density Estimation Using Entropy Maximization. Neural Comput. 10 (7) (1998)
Gad Miller, David Horn
Maximum entropy approach to probability density estimation. KES (1) (1998)
David Horn, Sharon Levanda
Fast Temporal Encoding and Decoding with Spiking Neurons. Neural Comput. 10 (7) (1998)
David Horn, Nir Levy, Eytan Ruppin
Memory Maintenance via Neuronal Regulation. Neural Comput. 10 (1) (1998)
Gideon Dror, Halina Abramowicz, David Horn
Vertex Identification in High Energy Physics Experiments. NIPS (1998)
Ofer Hendin, David Horn, Misha Tsodyks
Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb. J. Comput. Neurosci. 5 (2) (1998)
David Horn
Book Review: "How we Learn; How we Remember; Toward an Understanding of Brain and Neural Systems", by Leon N. Cooper. Int. J. Neural Syst. 8 (3) (1997)
Ofer Hendin, David Horn, Misha Tsodyks
The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb. J. Comput. Neurosci. 4 (2) (1997)
Nir Levy, David Horn, Eytan Ruppin
Multi-modular Associative Memory. NIPS (1997)
David Horn, Irit Opher
Solitary Waves of Integrate-and-Fire Neural Fields. Neural Comput. 9 (8) (1997)
David Horn, Nir Levy, Eytan Ruppin
Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease. Neural Comput. 8 (6) (1996)
David Horn, Irit Opher
Temporal segmentation in a neural dynamic system. Neural Comput. 8 (2) (1996)
David Horn, Irit Opher
The Importance of Noise for Segmentation and Binding in Dynamical Neural Systems. Int. J. Neural Syst. 7 (4) (1996)
Halina Abramowicz, David Horn, Ury Naftaly, Carmit Sahar-Pikielny
An Orientation Selective Neural Network for Pattern Identification in Particle Detectors. NIPS (1996)
David Horn, Eytan Ruppin
Compensatory mechanisms in an attractor neural network model of schizophrenia. Neural Comput. 7 (1) (1995)
Eytan Ruppin, James A. Reggia, David Horn
A Neural Model of Delusions and Hallucinations in Schizophrenia. NIPS (1994)
Ury Naftaly, Iris Ginzburg, David Horn, Nathan Intrator
Averaged and decorrelated neural networks as a time-series predictor. ICPR (2) (1994)
David Horn, Eytan Ruppin, Marius Usher, Michael Herrmann
Neural Network Modeling of Memory Deterioration in Alzheimer's Disease. Neural Comput. 5 (5) (1993)
Iris Ginzburg, David Horn
Combined Neural Networks for Time Series Analysis. NIPS (1993)
I. Ginzberg, David Horn
Learning the Rule of a Time Series. Int. J. Neural Syst. 3 (2) (1992)
Ofer Hendin, David Horn, Marius Usher
Chaotic Behavior of A Neural Network with Dynamical Thresholds. Int. J. Neural Syst. 1 (4) (1991)
David Horn, Marius Usher
Oscillatory Model of Short Term Memory. NIPS (1991)
David Horn, Marius Usher
Excitatory-Inhibitory Networks with Dynamical Thresholds. Int. J. Neural Syst. 1 (3) (1990)
Lawrence Wai-Choong Wong, Raymond Steele, Bernard S. Glance, David Horn
Time Diversity with Adaptive Error Detection to Combat Rayleigh Fading in Digital Mobile Radio. IEEE Trans. Commun. 31 (3) (1983)